Inside Precision Medicine October 26, 2022
Chris Anderson

A team of researchers from the University of California, San Francisco (UCSF) have developed an artificial intelligence (AI) model that can predict the likelihood of a cancer patient having an unplanned hospital stay during their chemoradiation therapy (CRT) regimen using daily step count data. The model’s performance, presented this week at the American Society for Radiation Oncology (ASTRO) Annual Meeting, has the potential to reduce the estimated 10% to 20% of patients receive chemotherapy or radiation treatments that will need acute care either in the ED or as a hospital inpatient.

“If you can anticipate a patient’s risk of unplanned hospitalization, you can change how you support them through their cancer treatments and reduce the likelihood that they will end...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Patient / Consumer, Provider, Survey / Study, Technology, Trends
March Fundraising Roundup: 7 Provider Tech Startups That Closed Rounds This Month
Google DeepMind unveils ‘superhuman’ AI system that excels in fact-checking, saving costs and improving accuracy
Katie Couric Talks Colon Cancer, Health Equity And AI
5 tips on AI adoption from a frontline physician champion
Survey of Oncologists Finds Agreement, Concerns Over AI Use

Share This Article